ELK123 Effective Use of Artificial Intelligence Tools

3 ECTS - 2-0 Duration (T+A)- 1. Semester- 2 National Credit

Information

Code ELK123
Name Effective Use of Artificial Intelligence Tools
Term 2024-2025 Academic Year
Semester 1. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Ön Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Öğr. Gör.Dr. ALİ KEMAL UĞUR
Course Instructor (A Group) ()


Course Goal / Objective

The aim of the course is to provide students with an understanding of artificial intelligence technologies, how to use these technologies effectively in various applications, and awareness of ethical and security issues that may be encountered in this process.

Course Content

Artificial Intelligence Introduction and Basic Concepts, Prompt Engineering, Prompt Patterns, Artificial Intelligence Tools and Platforms, Data Science and Data Analysis, Ethics and Security.

Course Precondition

None

Resources

Artificial Intelligence Lecture Notes, Ali Kemal UĞUR.

Notes

ChatGPT, The Magic of Digital Language, Şahap ALTINBAŞ.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains the basic concepts, history and development process of artificial intelligence.
LO02 Explains the differences between narrow AI, general AI, and super AI.
LO03 It creates effective and accurate prompts for artificial intelligence models.
LO04 Performs text analysis using natural language processing techniques and tools.
LO05 Effectively implements data collection, cleaning and preparation processes.
LO06 Realizes projects by installing and using popular artificial intelligence tools and platforms.
LO07 Identifies ethical and security issues that may be encountered in artificial intelligence applications.
LO08 Makes conscious and responsible decisions on ethical and security issues.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Have basic theoretical knowledge about mathematics, science and electric field.
PLO02 Bilgi - Kuramsal, Olgusal They acquire knowledge about occupational safety, worker health, workplace accidents, environmental protection, and quality processes.
PLO03 Bilgi - Kuramsal, Olgusal Recognizes passive and active circuit elements.
PLO04 Bilgi - Kuramsal, Olgusal Explains the operation of basic analog and digital electronic circuits.
PLO05 Bilgi - Kuramsal, Olgusal Recognizes low and high voltage electrical switchgears
PLO06 Bilgi - Kuramsal, Olgusal Recognizes the basic concepts and elements of control systems.
PLO07 Bilgi - Kuramsal, Olgusal Explain the basic concepts of generation, transmission and distribution of electrical energy.
PLO08 Beceriler - Bilişsel, Uygulamalı They actively follow and effectively utilize current developments and applications in their profession. 5
PLO09 Beceriler - Bilişsel, Uygulamalı The person effectively utilizes information technologies (software, programming, animation, etc.) related to their profession. 5
PLO10 Beceriler - Bilişsel, Uygulamalı They have the ability to independently evaluate professional problems and issues with an analytical and critical approach, and to offer solutions. 4
PLO11 Beceriler - Bilişsel, Uygulamalı Draws computer aided electrical installation project.
PLO12 Beceriler - Bilişsel, Uygulamalı Performs the installation and maintenance of electrical machines.
PLO13 Beceriler - Bilişsel, Uygulamalı Performs fault detection and repair in energy panels.
PLO14 Beceriler - Bilişsel, Uygulamalı Makes basic automation system design and applications with Programmable Control devices.
PLO15 Beceriler - Bilişsel, Uygulamalı Uses electrical measuring devices effectively.
PLO16 Beceriler - Bilişsel, Uygulamalı Analyzes electrical circuits.
PLO17 Yetkinlikler - İletişim ve Sosyal Yetkinlik They can effectively present their thoughts through written and verbal communication, expressing them in a clear and understandable manner at the level of knowledge and skills. 3
PLO18 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği They take responsibility as a team member to solve unforeseen complex problems encountered in practical applications related to their field. 3
PLO19 Yetkinlikler - Öğrenme Yetkinliği They have awareness in career management and lifelong learning. 5
PLO20 Yetkinlikler - İletişim ve Sosyal Yetkinlik They uphold societal, scientific, cultural, and ethical values ​​in the collection, implementation, and dissemination of data related to their field. 4
PLO21 Yetkinlikler - İletişim ve Sosyal Yetkinlik They follow the knowledge in their field using a foreign language and communicate with colleagues.


Week Plan

Week Topic Preparation Methods
1 Introduction and Basic Concepts Examining the course information package Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Types of Artificial Intelligence Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Machine Learning Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Prompt Engineering Techniques 1 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
5 Prompt Engineering Techniques 2 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
6 Data Collection and Preparation Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
7 Data Cleansing Techniques Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Artificial Intelligence Tools 1 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
10 Artificial Intelligence Tools 2 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
11 Artificial Intelligence Tools 3 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Gösterip Yaptırma
12 Project Creation and Planning with Artificial Intelligence 1 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Grup Çalışması, Beyin Fırtınası
13 Project Creation and Planning with Artificial Intelligence 2 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Grup Çalışması, Proje Temelli Öğrenme
14 Project Creation and Planning with Artificial Intelligence 3 Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Grup Çalışması, Proje Temelli Öğrenme
15 Ethics and Security in Artificial Intelligence Review of previous topics and review of reference books Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 6 6
Final Exam 1 16 16
Total Workload (Hour) 78
Total Workload / 25 (h) 3,12
ECTS 3 ECTS

Update Time: 24.05.2024 02:11